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Session

Tuesday, September 30

08:30 AM - 10:30 AM

Live in Berlin

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WP Case Study

This track explores how cloud-based AI toolchains, advanced annotation strategies, and synthetic data generation are reshaping the development of autonomous vehicles. Learn how MLOps, optimized in-vehicle inference, and hybrid data workflows accelerate model deployment, improve scalability, and ensure high-quality datasets across diverse driving scenarios and hardware architectures.

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